Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
Al-Baghdadi, A.
Metabolomics quality: preanalytical short-storage impact with regard to heterogenous factors
Studium für die Gleichwertigkeit; Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2022. pp. 50
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- Autor*innen der Med Uni Graz:
- Betreuer*innen:
- Bordag Natalie
- Obermayer-Pietsch Barbara
- Altmetrics:
- Abstract:
- Introduction: Metabolomics is a tool for understanding pathophysiological progressions and finding prognostic biomarkers of various disorders to achieve an early and accurate diagnosis and treatment. However, a comprehensive understanding of metabolomics is challenged by understanding the factors that may impact the state of metabolite. Most importantly, errors in the blood sampling stage can potentially lead to significant misleading laboratory results, including metabolomics results. More specifically, preanalytical short storage errors are amongst the most common analytical errors. They can produce misleading results which lead to patient harm. Furthermore, a robust, practical, and economically viable measurement tool is indispensable for ensuring the sample quality. We conducted the present study in order to predict any metabolomics changes after preanalytical short storage with regard to other intrinsic and extrinsic factors. We used a new quality control technique for this purpose. Method: We recruited 50 participants to two groups. The first group, the homogenous group, had minimum biological variations. The second group, the heterogeneous group, had at least one biological variation. Dual samples from each participant were obtained, a control sample was centrifuged immediately, and a case sample was left at room temperature for three hours prior to centrifugation. The samples were analyzed with PESI-MS. Result: Our results showed that out of 1200 statistically valid features, the vast majority were stable after the short storage period. Ten analytes were found to be significantly changed after three hours storage. Furthermore, no significant difference was found between the two groups (homogeneous, heterogeneous). Conclusion: Taking into account the potential impact of intrinsic and extrinsic factors on metabolomics results, our results have shown that PESI-MS is a sufficiently robust method to capture short-term storage of samples. This underlines the potential of the PESI-MS method as a new approach to quality control of blood samples.